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A Learning-Based Framework for Error Compensation in 3-D Printing 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
Authors:  Shen Z(沈震);  Shang XQ(商秀芹);  Zhao MH(赵美华);  Xiong G(熊刚);  Wang FY(王飞跃)
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3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation  
PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturing 会议论文
, Vancouver, BC, Canada, August 22-26, 2019
Authors:  Shen, Zhen;  Shang, Xiuqin;  Li, Yuqing;  Bao, Yin;  Zhang, Xipeng;  Dong, Xisong;  Wan, Li;  Xiong, Gang;  Wang, Fei-Yue
View  |  Adobe PDF(4106Kb)  |  Favorite  |  View/Download:2/0  |  Submit date:2019/10/10
Nonlinear Deformation Prediction and Compensation for 3D Printing Based on CAE Neural Networks 会议论文
, Vancouver, BC, Canada, August 22-26, 2019
Authors:  Meihua Zhao;  Gang Xiong;  Xiuqin Shang;  Chang Liu;  Zhen Shen;  Huaiyu Wu
View  |  Adobe PDF(3684Kb)  |  Favorite  |  View/Download:0/0  |  Submit date:2019/10/10
Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2019, 卷号: 00, 期号: 00, 页码: 00
Authors:  Peijun Ye;  Fenghua Zhu;  Samer Sabri;  Fei-Yue Wang
View  |  Adobe PDF(2643Kb)  |  Favorite  |  View/Download:2/1  |  Submit date:2019/10/10
Population Synthesis  Multiple Social Relationships  Tensor Decomposition  Agent-based Simulation  
A Pareto optimal mechanism for demand-side platforms in real time bidding advertising markets 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 469, 页码: 119-140
Authors:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue
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Computational advertising  Real time bidding  Demand side platform  Pareto optimal  Mechanism design  Computational experiment  
A Survey of Cognitive Architectures in the Past 20 Years 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3280-3290
Authors:  Ye, Peijun;  Wang, Tao;  Wang, Fei-Yue
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Agent  artificial intelligence (Al)  cognitive architecture (CA)  survey  
Pattern sensitive prediction of traffic flow based on generative adversarial framework 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2018, 期号: 99, 页码: 1-6
Authors:  Yilun Lin;  Xingyuan Dai;  Li Li;  Fei-Yue Wang
View  |  Adobe PDF(623Kb)  |  Favorite  |  View/Download:52/32  |  Submit date:2019/05/07
Traffic Flow Prediction  Deep Learning  Generative Adversarial Network